Les classes flexibles au service du développement de nouvelles méthodes pédagogiques
Bibliographic record
Abstract
This research focuses on the concept of the flexible classroom, which originated in the United States and Canada and is developing in other countries, popularized in particular by social networks. We note that the predominant model of a current classroom in terms of physical space is the so-called bus classroom. The emergence of flexible classrooms aims to act on the well-being of students by promoting movement and improving their learning through the variability of postures and teaching methods. Our study aims to measure the impact of the flexibility of the classroom space on the development of new pedagogies for the teacher. We explain that the classical layout of the space is limiting for teachers because it does not allow them to implement all the existing pedagogical variabilities. A first questionnaire collected more than 400 answers from teachers of all disciplines and all levels, while a second questionnaire collected more than 100 answers from students of middle school, high school and vocational school. We understand from the research phase that the teachers' feelings are in favor of the flexibility of the space, but that many obstacles hinder this impulse for change. Nevertheless, we note that efforts are being made individually to vary the physical space and that this model tends to develop on a larger scale. For new buildings, it seems necessary that the architecture of the buildings and the layout of the classrooms be thought out in advance, taking into account the needs of the students and teachers. The students' feelings allow us to highlight the link between space planning and well-being at school as well as the benefits brought to their learning. The physical space of the classroom is in a phase of transformation in a context of active pedagogy, differentiated pedagogy and intensified use of digital tools.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".